Abstract: Vehicular platooning refers to connected automated vehicles driving at close distance. The interest in this topic has increased over the years as a way to face increasing traffic volumes. Despite the progress in the field, only recently an interpretation of platooning has been given in the framework of disturbance decoupling. Disturbance decoupling refers to making a controlled output independent of a disturbance. In the platooning setting, the controlled output is the inter-vehicle spacing error, with the preceding vehicle acting as a disturbance. The appealing feature of disturbance decoupling is to yield a decentralized controller that guarantees stability and string stability. This talk will show how disturbance decoupling can be further exploited even in the presence of vehicle parametric uncertainty. We refer to this framework as adaptive disturbance decoupling.
Bio: Simone Baldi is professor at Southeast University, Lab of Networked Collective Intelligence since 2019, with a guest position at TU Delft, Delft Center for Systems and Control, where he was assistant professor in 2014-2019. He earned his Ph.D. in Systems Engineering at University of Florence, Italy (Prof. Mosca's group), with postdoc positions at University of Cyprus (Prof. Ioannou's group), and at ITI-CERTH, Greece (Prof. Kosmatopoulos's group). His research focuses on adaptive and learning systems with applications in cooperative vehicles and smart energy. Within European and Dutch projects, algorithms by dr. Baldi have been applied to intelligent traffic solutions (cooperations with Prof. Papageorgiou and the Traffic Control Department, city of Chania) and to energy-efficient buildings (cooperations with Honeywell, Fraunhofer Institute for Building Physics, and Dutch Real Estate Agency). Dr. Baldi is subject editor of Intern. Journal of Adaptive Control and Signal Processing, associate editor of IEEE Control Systems Letters and of IEEE/ASME Trans. on Mechatronics.